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Explore the fundamentals of databases, their types, and core functionalities. Understand how they store, manage, and retrieve data efficiently.

Databases are vital for modern applications, enabling efficient data storage and retrieval.
This presentation explores various database types, core components, and future trends.

Structured tables with fixed schemas using SQL for queries.
Flexible schema models, ideal for unstructured data and scalability.
Fast data retrieval from memory, suitable for real-time applications.

Database management system for data interactions and operations.
Frameworks that define the structure of database systems.
Blueprints that describe the database structure and constraints.

Organize data in rows and columns for easy access.
Unique identifiers that link related tables.
Standard query language for managing and manipulating data.

Store data as JSON-like documents for flexible schemas.
Simple, fast, and highly scalable data storage models.
Designed for complex relationships and analytics.

Identify data requirements and usage patterns early on.
Reduce redundancy and improve consistency in databases.
Design queries for efficient data retrieval and performance.

Eliminate duplicate columns and ensure unique rows.
Remove subsets of data that apply to multiple rows.
Eliminate transitive dependencies for clean data.

Indexes allow faster data retrieval from databases.
B-Tree, hash, and bitmap indexes for different use cases.
Balance between read speed and storage overhead.

Protecting data from unauthorized access and breaches.
Ensuring the database can grow with application demands.
Maintaining accuracy and consistency of data over time.

Databases will leverage AI for smarter data management.
Cloud databases will offer more scalability and flexibility.
Databases will move closer to data sources for faster access.





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